Isbn: 9781461368243 - discrete and fractional programming techniques for location models: 3 (11 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2013

      1461368243 / 9781461368243

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    • Lingua: Inglese

      Editore: Springer Verlag, 2013

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      Paperback. Condizione: Brand New. reprint edition. 198 pages. 9.25x6.10x0.46 inches. In Stock.

    • Lingua: Inglese

      Editore: Springer US, 2013

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    • Lingua: Inglese

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      Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - At first sight discrete and fractional programming techniques appear to be two com pletely unrelated fields in operations research. We will show how techniques in both fields can be applied separately and in a combined form to particular models in location analysis. Location analysis deals with the problem of deciding where to locate facilities, con sidering the clients to be served, in such a way that a certain criterion is optimized. The term 'facilities' immediately suggests factories, warehouses, schools, etc. , while the term 'clients' refers to depots, retail units, students, etc. Three basic classes can be identified in location analysis: continuous location, network location and dis crete location. The differences between these fields arise from the structure of the set of possible locations for the facilities. Hence, locating facilities in the plane or in another continuous space corresponds to a continuous location model while finding optimal facility locations on the edges or vertices of a network corresponds to a net work location model. Finally, if the possible set of locations is a finite set of points we have a discrete location model. Each of these fields has been actively studied, arousing intense discussion on the advantages and disadvantages of each of them. The usual requirement that every point in the plane or on the network must be a candidate location point, is one of the mostly used arguments 'against' continuous and network location models.

    • Lingua: Inglese

      Editore: Springer, 2013

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      Taschenbuch. Condizione: Neu. Discrete and Fractional Programming Techniques for Location Models | A. I. Barros | Taschenbuch | Combinatorial Optimization | xviii | Englisch | 2013 | Springer | EAN 9781461368243 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Springer, 2013

      1461368243 / 9781461368243

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      Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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      Condizione: new. Questo è un articolo print on demand.

    • Lingua: Inglese

      Editore: Springer US Nov 2013, 2013

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -At first sight discrete and fractional programming techniques appear to be two com pletely unrelated fields in operations research. We will show how techniques in both fields can be applied separately and in a combined form to particular models in location analysis. Location analysis deals with the problem of deciding where to locate facilities, con sidering the clients to be served, in such a way that a certain criterion is optimized. The term 'facilities' immediately suggests factories, warehouses, schools, etc. , while the term 'clients' refers to depots, retail units, students, etc. Three basic classes can be identified in location analysis: continuous location, network location and dis crete location. The differences between these fields arise from the structure of the set of possible locations for the facilities. Hence, locating facilities in the plane or in another continuous space corresponds to a continuous location model while finding optimal facility locations on the edges or vertices of a network corresponds to a net work location model. Finally, if the possible set of locations is a finite set of points we have a discrete location model. Each of these fields has been actively studied, arousing intense discussion on the advantages and disadvantages of each of them. The usual requirement that every point in the plane or on the network must be a candidate location point, is one of the mostly used arguments 'against' continuous and network location models. 200 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2013

      1461368243 / 9781461368243

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      Condizione: New. Print on Demand pp. 200 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

    • Lingua: Inglese

      Editore: Springer, 2013

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      Condizione: New. PRINT ON DEMAND pp. 200.

    • Lingua: Inglese

      Editore: Springer, Copernicus Nov 2013, 2013

      1461368243 / 9781461368243

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -At first sight discrete and fractional programming techniques appear to be two com pletely unrelated fields in operations research. We will show how techniques in both fields can be applied separately and in a combined form to particular models in location analysis. Location analysis deals with the problem of deciding where to locate facilities, con sidering the clients to be served, in such a way that a certain criterion is optimized. The term 'facilities' immediately suggests factories, warehouses, schools, etc. , while the term 'clients' refers to depots, retail units, students, etc. Three basic classes can be identified in location analysis: continuous location, network location and dis crete location. The differences between these fields arise from the structure of the set of possible locations for the facilities. Hence, locating facilities in the plane or in another continuous space corresponds to a continuous location model while finding optimal facility locations on the edges or vertices of a network corresponds to a net work location model. Finally, if the possible set of locations is a finite set of points we have a discrete location model. Each of these fields has been actively studied, arousing intense discussion on the advantages and disadvantages of each of them. The usual requirement that every point in the plane or on the network must be a candidate location point, is one of the mostly used arguments 'against' continuous and network location models.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch.